Historical breeding bird data from a national citizen science nest box monitoring initiative in the Netherlands, 1922–1950

Occurrence
Latest version published on 19 December 2025
Publication date:
19 December 2025
Published by:
No organisation
License:
CC-BY 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 40,721 records in English (1 MB) - Update frequency: not planned
Metadata as an EML file download in English (12 KB)
Metadata as an RTF file download in English (12 KB)

Description

Historical breeding bird occurrence data collected by the Dutch Plantenziektekundige Dienst from 1922 to 1950. All data were originally collected by volunteers throughout the Netherlands by observation of nestboxes and wild nests. It includes 40.721 records across 28 years of 105 species.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 40,721 records.

1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

Occurrence (core)
40721
ExtendedMeasurementOrFact 
69073

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Burant J B, Oosterkamp W E, Thapa P, van Hofslot T, Visser M E, Vriend S J G (2025). Historical breeding bird data from a national citizen science nest box monitoring initiative in the Netherlands, 1922–1950. Version 1.0. NIOO-KNAW. Occurrence dataset. https://tryout.nlbif.nl/resource?r=nestkast_1&v=1.0

Rights

Researchers should respect the following rights statement:

This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has not been registered with GBIF

Keywords

birds presence; breeding birds; ecology; phenology; nest site; history; Occurrence

External data

The resource data is also available in other formats

Historical breeding bird data from a national citizen science nest box monitoring initiative in the Netherlands, 1922–1950 https://doi.org/10.34894/ZOAZP8 UTF-8 csv V1

Contacts

Joseph B Burant
  • Originator
  • Point Of Contact
  • Researcher
Netherlands Institute of Ecology (NIOO-KNAW)
Wageningen
NL
Wietske E Oosterkamp
  • Metadata Provider
  • Originator
  • Research assistent data
Netherlands Institure of Ecology (NIOO-KNAW)
Wageningen
NL
Pratima Thapa
  • Originator
  • Research assistent
Netherlands Institute of Ecology (NIOO-KNAW)
Wageningen
NL
Thijs van Hofslot
  • Originator
  • Student
Netherlands Institute of Ecology (NIOO-KNAW)
Wageningen
NL
Marcel E Visser
  • Originator
  • Head of department
Netherlands Institute of Ecology (NIOO-KNAW)
Wageningen
NL
Stefan J G Vriend
  • Originator
  • Data manager
Netherlands Institute of Ecology (NIOO-KNAW)
Wageningen
NL

Geographic Coverage

The Netherlands in the early twentieth century

Bounding Coordinates South West [50.771, 3.357], North East [53.437, 7.237]

Taxonomic Coverage

No Description available

Class Avies

Temporal Coverage

Start Date / End Date 1922-03-17 / 1950-05-27

Project Data

No Description available

Title Nestkast 1.0

The personnel involved in the project:

Sampling Methods

Volunteers checked nests in nestboxes and a small number of wild nests. They recorded lay date, clutch size and brood size. These data were gathered into a physical dataset by the Plantenziektekundige Dienst.

Study Extent various areas in the Netherlands

Method step description:

  1. Source files were scanned and digitized using the pre-trained Transkribus model 'The Text Titan I' for text recognition, the 'Universal Lines' model for layout recognition, and a machine learning model trained on 80 manually transcribed pages for table recognition. The raw text output was cleaned with manual review and automation using Python with pandas and regex libraries.
  2. Datafication included standardizing area and observer names. All areas were manually geographically coded using historical Esri maps of the Netherlands. Species taxonomy was mapped to the vernacular names using the taxize package in R.
  3. Quality control included reviewing suspicious values (e.g. outliers, improbable and impossible values) against the source material. The data was furhter validated against the original reports from the Plantenziektekundige Dienst (ongoing).

Additional Metadata